• A Resampling-Based Markovian Model For Automated Colon Cancer Diagnosis 

      Özdemir, Erdem; Sokmensuer, Cenk; Gunduz-Demir, Cigdem (Ieee-Inst Electrical Electronics Engineers Inc, 2012)
      In recent years, there has been a great effort in the research of implementing automated diagnostic systems for tissue images. One major challenge in this implementation is to design systems that are robust to image ...
    • An Overview of Signal Processing for Food Inspection 

      Pearson, Tom; Çetin, A. Enis; Tewfik, Ahmed H.; Goekmen, Vural (Ieee-Inst Electrical Electronics Engineers Inc, 2007)
    • Color Graphs For Automated Cancer Diagnosis And Grading 

      Altunbay, Dogan; Cigir, Celal; Sokmensuer, Cenk; Gunduz-Demir, Cigdem (Ieee-Inst Electrical Electronics Engineers Inc, 2010)
      This paper reports a new structural method to mathematically represent and quantify a tissue for the purpose of automated and objective cancer diagnosis and grading. Unlike the previous structural methods, which quantify ...
    • Convexity Properties Of Detection Probability For Noncoherent Detection Of A Modulated Sinusoidal Carrier 

      Ozturk, Cuneyd; Dulek, Berkan; Gezici, Sinan (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      In this correspondence paper, the problem of noncoherent detection of a sinusoidal carrier is considered in the presence of Gaussian noise. The convexity properties of the detection probability are characterized with respect ...
    • Cross-Layer Energy Minimization For Underwater Aloha Networks 

      Koseoglu, Mehmet; Karasan, Ezhan; Chen, Lin (Ieee-Inst Electrical Electronics Engineers Inc, 2017)
      Underwater networks suffer from energy efficiency challenges due to difficulties in recharging underwater nodes. In addition, underwater acoustic networks show unique transmission characteristics such as frequency-dependent ...
    • Estimation Of Hmf2 And Fof2 Communication Parameters Of Ionosphere F2-Layer Using Gps Data And Iri-Plas Model 

      Sezen, Umut; Sahin, Oktay; Arikan, Feza; Arikan, Orhan (Ieee-Inst Electrical Electronics Engineers Inc, 2013)
      F2-layer is the most important and characteristic layer of the ionosphere in the propagation of high frequency (HF) waves due to the highest level of conductivity in the propagation path. In this study, the relation of ...
    • Expected Value Of Partial Perfect Information In Hybrid Models Using Dynamic Discretization 

      Yet, Barbaros; Constantinou, Anthony; Fenton, Norman; Neil, Martin (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      In decision theory models, expected value of partial perfect information (EVPPI) is an important analysis technique that is used to identify the value of acquiring further information on individual variables. EVPPI can be ...
    • Hand Gesture Based Remote Control System Using Infrared Sensors And A Camera 

      Erden, Fatih; Cetin, A. Enis (Ieee-Inst Electrical Electronics Engineers Inc, 2014)
      In this paper, a multimodal hand gesture detection and recognition system using differential Pyroelectric Infrared (PIR) sensors and a regular camera is described. Any movement within the viewing range of the differential ...
    • Joint Detection and Decoding in the Presence of Prior Information with Uncertainty 

      Bayram, Suat; Dulek, Berkan; Gezici, Sinan (Ieee-Inst Electrical Electronics Engineers Inc, 2016)
      An optimal decision framework is proposed for joint detection and decoding when the prior information is available with some uncertainty. The proposed framework provides trade-offs between the average inclusive error ...
    • Local Object Patterns for the Representation and Classification of Colon Tissue Images 

      Olgun, Gulden; Sokmensuer, Cenk; Gunduz-Demir, Cigdem (Ieee-Inst Electrical Electronics Engineers Inc, 2014)
      This paper presents a new approach for the effective representation and classification of images of histopathological colon tissues stained with hematoxylin and eosin. In this approach, we propose to decompose a tissue ...
    • Multilevel Segmentation Of Histopathological Images Using Cooccurrence Of Tissue Objects 

      Simsek, Ahmet Cagri; Tosun, Akif Burak; Aykanat, Cevdet; Sokmensuer, Cenk; Gunduz-Demir, Cigdem (Ieee-Inst Electrical Electronics Engineers Inc, 2012)
      This paper presents a new approach for unsupervised segmentation of histopathological tissue images. This approach has two main contributions. First, it introduces a new set of high-level texture features to represent the ...
    • Optimal Power Allocation For Average Detection Probability Criterion Over Flat Fading Channels 

      Saritas, Serkan; Dulek, Berkan; Sezer, Ahmet Dundar; Gezici, Sinan; Yuksel, Serdar (Ieee-Inst Electrical Electronics Engineers Inc, 2017)
      In this paper, the problem of optimal power allocation over flat fading additive white Gaussian noise channels is considered for maximizing the average detection probability of a signal emitted from a power constrained ...
    • Optimal Stochastic Signaling Under Average Power And Bit Rate Constraints 

      Goken, Cagri; Dulek, Berkan; Gezici, Sinan (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      The optimal stochastic signaling based on the joint design of prior distribution and signal constellation is investigated under an average bit rate and power constraints. First, an optimization problem is formulated to ...
    • Sensors In Assisted Living A Survey Of Signal And Image Processing Methods 

      Erden, Fatih; Velipasalar, Senem; Alkar, Ali Ziya; Cetin, A. Enis (Ieee-Inst Electrical Electronics Engineers Inc, 2016)
    • Sentioscope: A Soccer Player Tracking System Using Model Field Particles 

      Baysal, Sermetcan; Duygulu, Pinar (Ieee-Inst Electrical Electronics Engineers Inc, 2016)
      Tracking multiple players is crucial to analyze soccer videos in real time. Yet, rapid illumination changes and occlusions among players who look similar from a distance make tracking in soccer very difficult. Particle-f ...
    • Systematic Mapping of Process Mining Studies in Healthcare 

      Erdogan, Tugba Gurgen; Tarhan, Ayca (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      In the last decade, as an emerging technique for business processes management, process mining (PM) has been applied in many domains, including manufacturing, supply-chain, government, healthcare, and software engineering. ...
    • Two-Tier Tissue Decomposition For Histopathological Image Representation And Classification 

      Gultekin, Tunc; Koyuncu, Can Fahrettin; Sokmensuer, Cenk; Gunduz-Demir, Cigdem (Ieee-Inst Electrical Electronics Engineers Inc, 2015)
      In digital pathology, devising effective image representations is crucial to design robust automated diagnosis systems. To this end, many studies have proposed to develop object-based representations, instead of directly ...
    • Volumetric Object Recognition Using 3-D Cnns On Depth Data 

      Caglayan, Ali; Can, Ahmet Burak (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
      Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...